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The advancement of data analysis tools makes analyzing a huge amount of literature possible. This paper aims to identify tourism information technology research trends with the assistance of Toolkit for Academic Research (CATAR) to answer two research questions: the status of tourism information technology (IT) articles published in these selected journals from 1990 to 2016, and whether the number of Tourism IT articles is increasing or decreasing, and the main research topics studied in these articles from 1990 to 2016, and whether those have shifted over the 27 years.

Selected keywords identified by researchers that were used to extract Tourism IT articles published in Web of Science database. CATAR was used to carry out two analyses, namely, overview analysis and breakdown analysis. Overview analysis is performed to apply citation analysis to identify the general trend and the most cited reference of Tourism IT research represented by the selected articles. Breakdown analysis is based on bibliographic coupling (BC) analysis.

The number of Tourism IT publications grew rapidly in the second half of the 2000s, as mobile phones with touch screens became increasingly popular. It signals changes in the way of information searching behaviors. A total of 769 authors from 44 countries contributed to Tourism IT research. The USA, China, UK and Australia are the countries contributing the most. Six subject areas were revealed, namely, the interaction of people and organization; interaction of people and information; interaction of people and technology; technological implementation; the interaction of organization and information; and interaction of organization and technology.

The major limitation of this study must be considered – the use of data merely derived from WoS database. The BC analysis makes a comparison between references of the given articles. This analysis requires the citation sources with better data quality, which is mainly based on the accuracy and standardization of databases. WoS is the database currently fit this requirement. The emergence of the new citation tools will enable scholars to pull data from new databases and to clean the data. Incorporating data from those new databases will reveal more accurate and comprehensive picture of Tourism IT research trend.

This paper revealed the research trend and major research subject areas of Tourism IT research for the past 16 years. The results can assist scholars to quickly grasp the Tourism IT research. This paper also provides an alternative approach to conduct literature review with computer-assisted analysis program.

Introduction: As a type of poverty, relative poverty can be defined as being below the average welfare of society. Basic needs can be afforded, but individuals can’t take advantage of the welfare created by society. Today coding the reflection of welfare, sharing experiences has new meanings by new social media means. Instagram is especially preferred in visual sharing because of its filter options, live feed, or story mode. These features help the message sender to increase the effect of the message and the receiver to understand the reality with its different dimensions. It is not shocking that the images of welfare and its indicators are shared increasingly in social networks because storytelling in this media is fed. The visual strengthening is underlining the possession of the owner and the deficiency of the non-owner from their perspectives.

Purpose: This study examines the emotional effects of ideal life images shared on Instagram on other individuals. The aim is to reveal and define the meaning ascribed to such fractions of life with a visual appeal by people who cannot lead this kind of life.

Methodology: In accordance with the Social Learning Theory, the study assumes that people with relative poverty take notice of their own poverty through social media. The study investigates the emotions manifested by individuals who take notice of the things that they lack through social media. Thus, a qualitative study was designed and conducted using a phenomenological approach. The phenomenon of this study is failing to have. The objective of the study is to understand and determine what the individuals who do social comparisons feel they lack. For this purpose, the fundamental research questions of this study are as follows: RQ1: What are the main categories of Instagram posts that evoke a sense of deprivation in individuals?; RQ2: What do glamorous Instagram posts mean to individuals who are above the relative poverty threshold? The data gathered via the in-depth interview technique were analyzed using the computer-assisted qualitative analysis program (MaxqDa 2020). Qualitative content analysis and descriptive analysis were the forms of analysis used in the study.

Findings: The fact that there are negative links between passively consuming information on social media and well-being is supported by previous studies. This study exposes the experiences of “failing to have” due to upward social comparison in individuals who are above the relative poverty threshold in Turkey. The categories of shared content that evoke the feeling of deficiency in the participants are as follows: Travel/vacation, participation in social life, physical attractiveness, material possessions, and professional/academic career. The participants of the study are individuals who are above the relative poverty threshold for Turkey. The participants want to have “more than what they already have.” For this reason, it can be suggested that the main keyword summarizing the findings of the study is “more.” The study demonstrates that failing to travel and participate in social life deeply affects the participants and causes them to experience negative emotions.

Unequal workplace gender outcomes continue to motivate research. Using the prism of work-life-(im)balance, the purpose of this paper is to show how identity salience and motivation contribute to a subject position that for many reproduces socially gendered practices of workplaces.

After initial inductive computer-assisted text analysis, the authors innovatively move to deductively analyse data from focus group and semi-structured interviews of 18 female and 19 male Australian managers in the financial and government sectors.

The authors find that a gendered sense of reflexivity is virtually non-existent among the female Australian managers and professionals interviewed in this research. The inductive stage of critical discourse analysis revealed a substantial difference between men and women in two concepts, responsibility, and choice. These form the axes of the typological model to better explain how non-reflexive gendered workplace practices are “performed”.

This empirical research provides a foundation for understanding the role of choice and responsibility in work-home patterns for women.

The absence of a reflexive gender-based understanding of women’s work-home choice is explained in Bourdieusian terms.

By not specifically using a gender lens, the authors have avoided the stereotypical understanding of gendered workplaces.

Information and communication technologies have been widely implemented and made radical changes for several decades in the hospitality and tourism industry. This rapid development also generates considerable data in social media. This trend opens the door to analyze unstructured data and gain increased attention of a qualitative research approach from hospitality and tourism researchers and industry professionals. Therefore, this paper aims to describe how a computer-assisted qualitative data analysis (CAQDA) approach can be used in the hospitality and tourism technology literature to uncover the trends and thematic concepts of hospitality and tourism technology research and their dynamics in Journal of Hospitality and Tourism Technology (JHTT)

To achieve the proposed research goals, the current study used CAQDA software, Leximancer, to analyze 218 articles published in JHTT between Volume 1(1) in 2010 and Volume 10(4) in 2019. Based on the rigorous CAQDA processes, the study performed the thematic analysis using all articles and subgroup analyses in the five-year periods.

Using CAQDA, the study reveals the critical research trends and insights on hospitality and tourism technology for 10 years in the JHTT. The findings of this study can provide strong evidence of what hospitality and tourism technology research topics have been examined and how these topics were connected and changed over time. More importantly, the current study illustrates how the CAQDA approach can be applied to uncover the hidden trends and thematic concepts from text data in the hospitality and tourism literature.

This study is the first attempt to apply CAQDA software to identify research trends and thematic concepts and gain insights from past JHTT’s articles. Moreover, this study applies this software to describe how hospitality and tourism researchers can use one of the modern computer-assisted qualitative techniques. Based on the findings of this study, theoretical and methodological implications for hospitality and tourism researchers are provided. More importantly, the current study presents the specific guidelines of how the CAQDA approach can be used for the literature review.

在酒店与旅游研究中, 信息和通讯技术被广泛应用了数十载, 也在发展中经历了巨大变革。如此迅速的发展在社交媒体中产生了大量数据。此项趋势为分析非结构化的数据以及为酒店旅游界增加定性研究打开了大门。因此, 以 Journal of Hospitality and Tourism Technology（JHTT） 发表的论文为例, 本研究旨在介绍在酒店旅游文献中如何运用计算机辅助的定性研究方法来发现研究趋势, 主题概念, 以及发展进程。

为达到研究目的, 本研究运用 CAQDA 软件, Leximancer, 来分析了 JHTT 从2010 年第1卷第1期截止到 2019 年第 10 卷第4期之间发表的 218 篇论文。基于 CAQDA 的严谨分析, 本研究对所有发表的论文进行了以5年为阶段的主题分析和分主题分析。

通过 CAQDA, 本研究发现了 10 年间在 JHTT 发表论文中凸显出来的酒店和旅游科技的研究趋势。研究结果为了解酒店旅游研究中出现的以科技为核心主题, 以及主题之间是如何关联以及发展提供了科研证据。更重要的是, 本论文为阐述 CAQDA 是如何可被应用到酒店旅游研究的文本分析中提供了例证。

本论文首次应用了 CAQDA 软件来发现科研趋势和研究主题, 从 JHTT 发表的论文中得到了深刻见解。此外, 通过应用此软件, 本研究也为酒店旅游学者展示了如何运用此项现代计算机辅助定性分析技术。本文结果对理论和方法论具有深远意义。更重要的是, 本研究提供了在文献综述中如何运用 CAQDA 提供了指导方针。

定性研究, 文献综述, 主题分析, 文本分析, 酒店和旅游科技, 计算机辅助定量分析, CAQDA, Journal of Hospitality and Tourism Technology, JHTT.

文章类型 研究论文

This study aims to explore multifaceted corporate social responsibility (CSR) covered in popular English newspapers in the UK, USA, mainland China and Hong Kong from 2000 to 2016 via a computer-assisted analytical approach. This study moves the understanding of CSR away from corporate self-reporting to the mass media and raises interesting questions about the role of the news media in presenting CSR as a multifaceted, socially constructed concept.

Data were retrieved from CSR-related news articles from 2000 to 2016 that were archived in the LexisNexis database. Guided by the theoretical framework of agenda setting, a computer-assisted content analysis (Latent Dirichlet Allocation) was used to analyze 4,487 CSR-related articles from both business and non-business news sources. Analysis of variance was used to compare salient CSR topics in each country/region.

This study identifies newspapers as an alternate to corporations’ attempts to distribute CSR information and construct CSR meaning. The findings revealed that the news communicates a variety of CSR issues that are aligned or beyond what CSR was defined in corporate CSR reporting, as suggested in previous studies. In addition, CSR news coverages differ between the business and nonbusiness news sources. Furthermore, the media tone of CSR coverage significantly differed across the regions and between the business and nonbusiness newspapers.

Emerging topics in CSR news coverage, such as business education, could help companies identify untapped CSR realms in the market.

This study contributes to CSR communication research by adding a non-corporate perspective regarding what CSR means and should be focused on. The news media presents CSR using a heterogeneous approach as they not only provide surface reports on corporations’ CSR activities but also offer in-depth discussions.

The purpose of this paper is to describe a research method successfully used to study intellectual capital (IC) and IC flows through a highly networked marketplace.

The method integrates computer‐assisted content analysis (CA) and multivariate statistics. The CA is performed on a large source of business and analyst reports. The method is successful in enabling the elements of IC to be related to firm performance, using 156 firms in the global information technology market as a testing ground.

Computer‐assisted CA techniques could be successfully used to analyse the larger samples of firms for IC attributes like human capital, internal capital and external or relational capital, than have previously been feasible using manual CA methods.

Several limitations of the method are identified and relate to the computer‐assisted CA method used. First, the method relies on the existence of a large body of content, in this case business reports and articles, to create the indices for the IC attributes. A second limitation is that the IC attributes are constructed from public sources (i.e. they represent the view of external reporters, rather than internal to the organisation reporters). The method presented combines and extends the benefits of both qualitative and quantitative methods. The richer source of IC content for a larger sample of firms is made accessible through computer‐assisted CA. The overall method enables insights to be explored in relating firm IC to firm performance in the market place.

The integrated research method presented is the result of original research. The value to researchers is the opportunity it provides to study the IC/performance relationship across markets, rather than be limited to small sample or limited attribute studies.

Based on a lexical analysis of publications on 529 Facebook pages, published between 2013 and 2017, this research explores how Brazilian left-wing activist groups participate on Facebook to coordinate their opposition and engage in social struggles. This chapter shows how activist groups set up two main digital network repertoires of action when mobilizing on Facebook. First, in direct connection with major political events, the platform is used as a media arena to challenge governments’ political actions and second, it is employed as a tool to coordinate mobilization, whether these mobilizations are demonstrations on the street or at cultural events, such as at a music concert. These repertoires of action exemplify ways in which contemporary Brazilian activism is carried out at the intersection of online and offline engagements. While participants engage through these two repertoires, this network of activists is held together over time through a more mundane type of event, pertaining to the repertoire of action allowing the organization of mobilization. Stepping aside from opposition and struggles brought to the streets, the organization of cultural activities, such as concerts and exhibitions, punctuates the everyday exchanges in activists’ communications. Talk about cultural events and their related social agendas structures activist networks on a medium-term basis and creates the conditions for the coordination of (future) social movements, in that they offer the opportunities to stay in contact, in addition to taking part in occasional gatherings, between more highly visible social protests.

Assembly cost is one of the major contributing factors in the total manufacturing cost equation. It has been estimated, particularly in the mechanical and electrical industries, that assembly costs can account for over 50 per cent of the overall manufacturing costs. Discussed is the development of a low‐cost PC‐based computer assisted tool, used to analyse the component geometric features from an engineering drawing for automatic assembly. A description of the algorithms used to evaluate the overall geometric dimensions, its alpha and beta symmetries from a DXF file will also be made. Goes on to compare the results between the simulated runs and the actual ones of various complex 2‐D and 21/2‐D components and this has been found to be satisfactory. Quicker estimates of the component handling times for assembly can therefore be achieved.

The aims of the paper are twofold: to assess the usage of Computer Assisted Qualitative Data Analysis (CAQDAS) in the UK market research industry; and to evaluate the use of CAQDAS as a supplement to paper‐coding in market research.

CAQDAS usage was assessed by a questionnaire, sent to a sample of 400 UK market researchers. The second part of the research is a case study of a research experiment. The authors conducted focus group research into online grocery shopping, supplementing a paper‐coding‐based analysis with a further analysis based on computer coding.

Usage of CAQDAS in commercial market research is very low at only 9 percent. The research suggests that CAQDAS can be a useful supplement to traditional methods. Using computer software, the paper was able to mine the data for more detail; clearly identify minority views; and produce a useful resource for future research.

The survey response rate was 38 percent, but only 13 respondents used CAQDAS. Generalisation from a single experiment is problematic; the findings are affected by the research topic, research briefs and the two research analysts.

The study has important implications for commercial qualitative market research. Repositioning CAQDAS as supplementary, rather than as an alternative, circumvents arguments about time pressure, and highlights its data management role.

This is the first large‐scale survey of qualitative research analysis in the UK market research industry. The case study describes an approach to CAQDAS that is innovative and relevant to commercial market research.